Lusha Wang
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Electric Vehicles and Infrastructure 6
- Optimal Power Flow Distribution 3
- Co-authors
- Noel N. Schulz (3 shared papers)Anurag Kumar Srivastava (2 shared papers)Zhi Zhou (3 shared papers)Anamika Dubey (1 shared paper)Assefaw Hadish Gebremedhin (2 shared papers)Jonghwan Kwon (2 shared papers)Xiaofeng Wang (1 shared paper)Markus Jakobsson (1 shared paper)
- Journals
- Infection Control and Hospital Epidemiology (3 papers)Chemical Engineering Science (2 papers)IEEE Transactions on Smart Grid (2 papers)IEEE Transactions on Sustainable Energy (2 papers)IET Smart Grid (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Lusha Wang
29 papers receiving 417 citations
Peers
Comparison fields: 5 of 88
- Applied Microbiology and Biotechnology 19
- Signal Processing 64
- Automotive Engineering 53
- Information Systems 83
- Software 15
Countries citing papers authored by Lusha Wang
This map shows the geographic impact of Lusha Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lusha Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lusha Wang more than expected).
Fields of papers citing papers by Lusha Wang
This network shows the impact of papers produced by Lusha Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lusha Wang. The network helps show where Lusha Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lusha Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 79 | |
| 2 | 2008 | 57 | |
| 3 | 2022 | 48 | |
| 4 | 2021 | 39 | |
| 5 | 2015 | 34 | |
| 6 | 2018 | 25 | |
| 7 | 2018 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2024 | 13 | |
| 12 | 2020 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2014 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2009 | 2 |
About Lusha Wang
Lusha Wang is a scholar working on Electrical and Electronic Engineering, Signal Processing, Automotive Engineering, Information Systems and Renewable Energy, Sustainability and the Environment, having authored 31 papers that have together received 433 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (6 papers), Optimal Power Flow Distribution (3 papers), Electrocatalysts for Energy Conversion (2 papers), Space Satellite Systems and Control (2 papers), Advanced Battery Technologies Research (2 papers), Remote Sensing in Agriculture (2 papers), Inertial Sensor and Navigation (2 papers) and Spacecraft Design and Technology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (19 citations), Signal Processing (64 citations), Automotive Engineering (53 citations), Information Systems (83 citations) and Software (15 citations). Lusha Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Noel N. Schulz, Anurag Kumar Srivastava, Zhi Zhou, Anamika Dubey, Assefaw Hadish Gebremedhin, Jonghwan Kwon, Xiaofeng Wang, Markus Jakobsson, Philippe Golle and Richard Chow. Their work appears in journals such as Infection Control and Hospital Epidemiology, Chemical Engineering Science, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy and IET Smart Grid.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.